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Soft, Self-Assembly Liquid Crystalline Nanocomposite for Superior Switching
Abstract: Liquid crystal (LC) has long been a feature in Materials Science and Nanotechnology, have recently been extended into the appealing domain of complex hybrid materials. The crystalline structural effects of alkoxy chain lengths and the mesogen properties of hydrogen-bonded (n-OBASA) complexes (n = 5,6,7) have been investigated in recent studies. The LC-based hybrid nanocomposite materials
Rough set theory with Jaya optimization for acute lymphoblastic leukemia classification
Early diagnosis of malignant leukemia can enormously help the physicians in choosing the right treatment for the patient. A lot of diagnostic techniques are available to identify leukemia disease, but these techniques are costly. Hence, there is a need for a less time-consuming and cost-effective method for the classification of leukemia blood cells. In this paper, application of graphical user
Performance optimisation of a pharmaceutical production line by integrated simulation and data envelopment analysis
It seems that the use of mathematical models is not suitable for pharmaceutical production line optimisation and the use of simulation leads to better outputs and provides more flexibility than mathematical models. Therefore, in this study, a novel methodology based on the integration of simulation and data envelopment analysis is developed for performance optimisation of a pharmaceutical
Therapeutic and diagnostic potential of nanomaterials for enhanced biomedical applications
Biomedical applications of nanomaterials have received considerable attention and interest from many researchers over the past decade due to the key role they can play in enhancing public health. Different types of nanomaterials possess both diagnostic and therapeutic potential owing to their outstanding properties compared to their bulk counterparts. Herein, we present, analyze and provide
Sustainability of one-dimensional nanostructures: Fabrication and industrial
[No abstract available]
Effect of wall thinning on the Shakedown Interaction Diagrams of 90-degree back-to-Back Bends Subjected to Simultaneous Steady Internal Pressures and Cyclic In Plane Bending Moments
This research studies the effect of wall thinning on generated shakedown (SD) interaction diagrams of pressurized low-carbon steel 90-degree (90-Deg) back-to-back (B2B) bends. More precisely, the SD limit moments are determined for various steady internal pressure spectra thus generating the targeted SD boundaries. The SD limit moments are computed utilizing a direct non-cyclic technique termed
Load carrying capacities of pressurized 90 degree miter and smooth bends subjected to monotonic in-plane and out-of-plane bending loadings
The present research focuses on generating interaction diagrams (i.e. limit moment boundaries vs steady internal pressure spectra) of pressurized 90 o miter and smooth bends. One-, two-, three-, and four-weld miter bends are modelled and analyzed. Additionally, 90 o smooth bends (SBs) bearing the miter bends’ same material and major geometric parameters are analyzed thus providing broader range of
Software Defined Network Based Management Framework for Wireless Sensor Networks
Wireless Sensor Network (WSN) has growth rapidly over the past years. As it is now applied in many fields as in health care systems, home automation, security surveillance, disaster management and more. Due to the high demand on WSN, it is important to find a solution for one of the major challenges in WSN which is the energy consumption of its battery operated sensor device. So in this paper we
Adaptive Diversifying Hyper-Heuristic Based Approach for Timetabling Problems
Combinatorial optimization is the search for an optimal configuration of a set of variables to accomplish certain goals. One of the well-known combinatorial optimization problems is the timetabling problem, with a lot of research conducted in the past few decades to investigate a variety of methodologies to solve it. One of the blossoming recent methodologies is hyper-heuristics, which attempts to